Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 34 for “"Re-identification"”.
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An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification
Person re-identification is an essential task of recognizing and matching people from non-overlapping cameras. A typical application of person re-identification is identifying a particular person in a gallery of pedestrian images from a camera with one or more given probe images of this person from …
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Person Re-identification and an Adversarial Attack and Defense for Person Re-identification Networks
<p>Person re-identification (ReID) is the task of retrieving the same person, across different camera views or on the same camera view captured at a different time, given a query person of interest. There has been great interest and significant progress in person ReID, which is important for …
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Person Re-identification And An Adversarial Attack And Defense For Person Re-identification Networks
<p>Person re-identification (ReID) is the task of retrieving the same person, across different camera views or on the same camera view captured at a different time, given a query person of interest. There has been great interest and significant progress in person ReID, which is important for …
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Towards accurate person re-identification by deep learning
Artificial intelligence surveillance has become increasingly popular due to its security applications. Within this field, person re-identification (re-ID) is a. crucial topic, which aims at matching images of a person in one camera with the images of this person from other cameras. Considering the …
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Re-identification and semantic retrieval of pedestrians in video surveillance scenarios
Person re-identification consists of recognizing individuals across different sensors of a camera network. Whereas clothing appearance cues are widely used, other modalities could be exploited as additional information sources, like anthropometric measures and gait. In this work we investigate …
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Photo-based Vendor Re-identification on Darknet Marketplaces using Deep Neural Networks
Darknet markets are online services behind Tor where cybercriminals trade illegal goods and stolen datasets. In recent years, security analysts and law enforcement start to investigate the darknet markets to study the cybercriminal networks and predict future incidents. However, vendors in these …
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DATA MINING AND RE-IDENTIFICATION: ANALYSIS OF DATABASE QUERY PATTERNS THAT POSE A THREAT TO ANONYMISED INFORMATION
… the globally connected civilization culture in place today, a number of sectors are built on the gathering and sharing of data. Personal and sensitive data are collected and shared about the individuals using the services offered by these sectors. Data controllers rely on the robustness of …
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Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis
… the use of ECG signal as a biometric in human identification systems using deep learning models. We train convolutional neural network models on ECG samples from approximately 81k patients. Our models achieved an over-all accuracy of 95.69%. Further, we assess the accuracy of our ECG …
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Superpixels for Hyperspectral Image Analysis
… sensors, hyperpsectral data has become increasingly popular, necessitating development of algorithms for robust image analysis with such data. This thesis contributes methods that efficiently and robustly exploits superpixels for hyperspectral data. We study and quantify the efficacy of …
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Robotic Contextual Awareness for Human-Robot Collaboration and Environmental Understanding
… such as manufacturing, logistics, and healthcare, has made their safe and autonomous operation a critical area of research. These sophisticated machines must be capable of perceiving, understanding, and interacting with their surroundings to navigate freely and perform complex tasks. A …
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Privacy and identifiability in clinical research, personalized medicine, and public health surveillance
… health information has become pervasive in research, clinical, and public health investigations, posing substantial risk to patient privacy. From clinical genetic screenings to publication of data in research studies, these activities have the potential to disclose identity, medical …
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Automated and Handcrafted Neural Network Design for Vision Applications
This thesis presents effective neural network design for various vision applications from two aspects, automated neural network design and handcrafted neural network design. To be more specific, in the first step, it applies novel neural architecture search algorithms on single image deraining and …
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Deep learning-based framework for traffic estimation for the MLK Smart Corridor in downtown Chattanooga, TN
… for vehicles detection, tracking, movement direction identification, and speed estimation. We chose YOLOv7 for objects detection given its ability to run up to 160 fps. We trained YOLOv7 to detect and classify vehicles into four classes with a reported mean average precision of 0.69. For …
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Pairwise Matching of Intermediate Representations for Fine-grained Explainability
The differences between images belonging to fine-grained categories are often subtle and highly localized, and existing explainability techniques for deep learning models are often too diffuse to provide useful and interpretable explanations. We propose a new explainability method (PAIR-X) that …
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Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos Using an Attention Network
This work addresses the problem of recovering the morphology of blood volume pulse (BVP) information from a video of a person's face. Video-based remote plethysmography methods have shown promising results in estimating vital signs such as heart rate and breathing rate. However, recovering the …
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A Supervised Low-Rank Matrix Decomposition for Matching
Human identification from images captured in unconstrained scenarios is still an unsolved problem, which finds applications in several areas, ranging from all the settings typical of video surveillance, to robotics, metadata enrichment of social media content, and mobile applications. The most …
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Attention mechanism in deep neural networks for computer vision tasks
… language processing for enhancing the feature representation of key sentence fragments over the context. In recent years, the attention mechanism has been widely adopted in solving computer vision tasks by guiding deep neural networks (DNNs) to focus on specific image features for better …
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Transmissions of Hashed Personally Identifiable Information to Third Parties Across Websites
Many websites share users’ personal information with third-party trackers in hashed form, often claiming that hash functions provide privacy protection. Previous literature has shown this to be false by successfully re-identifying hashes of common personally identifiable information (PII). Despite …
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The Role of the Transcription Factor CEBPA in Regulating Lung Alveolar Type 2 Cell Fate In Vivo
… types, yet it naturally diminishes as cells progress through differentiation. This plasticity can be reactivated during injury repair, engaging developmental flexibility. Our investigations reveal the critical role of the transcription factor (TF) CEBPA, specific to lung alveolar type 2 (AT2) …
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